io.github.ANAMIZED/server-os
Fail-closed agentic OS MCP: agents as processes with cost, governance, observability, skills.
Installation
Les étapes d'installation sont dans la documentation ci-dessous. Documentation
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
Server OS
Autonomous Agentic Operating System — agents as first-class processes with cost control, governance, observability, MCP, SDK, CLI, and skills. Fail-closed. Verified end-to-end.
A senior engineer who has never seen this repository can, using only the source code and this README.md:
- Deploy the entire system (single command)
- Exercise every major feature
- Verify end-to-end correctness via automated checks
No prior context or tribal knowledge required.
Support Agentic OS Kernels ($99) · Agentic OS Cycle ($0.75) · Public Goods Support
Non-custodial USDC (preferred for agents)
| Network | Address | Explorer |
|---|---|---|
| Base | 0xD3d0E9eDAe3Ac7bb199a8EAA761BdA423b878438 | basescan |
| Ethereum | 0xD3d0E9eDAe3Ac7bb199a8EAA761BdA423b878438 | etherscan |
| Solana | ETQwWf19axArsY493UfC6bxe2BmEzmzvCb58PPnC38A | solscan |
Related: rui · LRSI · openmesha · OpenGOS · agenticarb · x402-cloudflare-starter
🚀 Web Control Plane (Hero Demo — Zero Install)
Canonical file: web/server-os.html (~82 KB)
Open locally:
python -m http.server 8088 --directory web
# http://127.0.0.1:8088/server-os.htmlOr Chrome → File → Open File… → web/server-os.html.
Acceptance: open the file → OS tab → Golden evals → run → 12/12 passed.
Offline mock provider, policy, budgets, graph, terminal, and 12 golden evals. The HTML engine is DOM-free below the UI so the eval suite exercises the same path as interactive use.
Quick Start (Production Runtime)
docker compose up --build
# another terminal
bash scripts/verify.sh- API: http://localhost:8080
- Dashboard: http://localhost:8080/dashboard
- OpenAPI: http://localhost:8080/docs
Default mode is offline mock LLM (deterministic, free). Set SERVER_OS_LLM_MODE=openai + OPENAI_API_KEY for real models.
Surfaces
| Surface | Entry |
|---|---|
| Web control plane | web/server-os.html (offline, self-verifying) |
| REST API | python -c "from server_os.main import run; run()" |
| CLI | server-os status / server-os agents ... |
| MCP Server | server-os-mcp |
| SDK | from server_os.sdk import ServerOSClient |
| Multi-agent workflows | skills/multi-agent-workflow/ |
| Skills | skills/*/SKILL.md |
| AGENTS.md | Coding-agent contract at repo root |
| CI | .github/workflows/ci.yml |
Verify contract
bash scripts/verify.shCovers API, cost, governance, multi-agent workflows, SDK, CLI, MCP, skills, and AGENTS.md. 16 checks. All must pass.
Web parity check (manual, ~30s): open full web/server-os.html → run Golden evals → 12/12.
Design principles
- Least privilege by construction (capabilities from intent)
- Cost is a first-class resource
- Observable by default
- Fail closed
- Deployable with zero tribal knowledge
License
Apache-2.0
Questions fréquentes
Qu'est-ce que io.github.ANAMIZED/server-os ?
Fail-closed agentic OS MCP: agents as processes with cost, governance, observability, skills.
Comment installer io.github.ANAMIZED/server-os ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
io.github.ANAMIZED/server-os est-il open source ?
Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.
Qui maintient io.github.ANAMIZED/server-os ?
Il est publié par ANAMIZED. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.